9781394293377 - state estimation of multi-agent vehicle-road interaction system di wang, yan; yin, guodong; huang, chao (29 risultati)
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Hardback. Condizione: New. Up-to-date discussions of the challenges and solutions in multi-agent vehicle-road interaction systems In State Estimation of Multi-Agent Vehicle-Road Interaction Systems, a team of distinguished researchers introduces a novel conceptual framework that defines a system comprising vehicles and local roa…d segments within a connected vehicle (V2X) environment-referred to as the vehicle neighborhood system. Creative estimation methods for both states and parameters within this system have been proposed and potential applications of these methods have been discussed. The book places particular emphasis on estimating and analyzing the motion states of the ego vehicle and the preceding vehicle, as well as the tire road friction coefficient. The book covers a wide range of topics in the area of vehicle neighborhood systems, including sensor technologies, data fusion, filtering algorithms, engineering applications, and practical implementations of autonomous driving systems. It also explores common challenges in state and parameter estimation for related nonlinear systems, such as sensor data loss, unknown measurement noise, and model parameter perturbations. Corresponding solutions to these issues are proposed and discussed in detail. The book also includes: A thorough introduction to ego-vehicle state estimation with sensor data lossComprehensive explorations of unknown noise and parameter perturbations in ego-vehicle state estimationPractical discussions of tire-road friction coefficient estimation with parameter mismatch and data lossComplete treatments of preceding vehicle state estimation Perfect for engineers and professionals with an interest in vehicle state estimation, State Estimation of Multi-Agent Vehicle-Road Interaction Systems will also benefit academics, scientists, and graduate students in areas like robotics, control systems, and autonomous systems.
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Buch. Condizione: Neu. Neuware - Up-to-date discussions of the challenges and solutions inmulti-agent vehicle-road interaction systems In State Estimation of Multi-Agent Vehicle-Road Interaction Systems, a team of distinguished researchers introduces a novel conceptual framework that defines a system comprising vehicles and loca…l road segments within a connected vehicle (V2X) environment-referred to as the vehicle neighborhood system. Creative estimation methods for both states and parameters within this system have been proposed and potential applications of these methods have been discussed. The book places particular emphasis on estimating and analyzing the motion states of the ego vehicle and the preceding vehicle, as well as the tire road friction coefficient. The book covers a wide range of topics in the area of vehicle neighborhood systems, including sensor technologies, data fusion, filtering algorithms, engineering applications, and practical implementations of autonomous driving systems. It also explores common challenges in state and parameter estimation for related nonlinear systems, such as sensor data loss, unknown measurement noise, and model parameter perturbations. Corresponding solutions to these issues are proposed and discussed in detail. The book also includes: - A thorough introduction to ego-vehicle state estimation with sensor data loss - Comprehensive explorations of unknown noise and parameter perturbations in ego-vehicle state estimation - Practical discussions of tire-road friction coefficient estimation with parameter mismatch and data loss - Complete treatments of preceding vehicle state estimation Perfect for engineers and professionals with an interest in vehicle state estimation, State Estimation of Multi-Agent Vehicle-Road Interaction Systems will also benefit academics, scientists, and graduate students in areas like robotics, control systems, and autonomous systems.
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Hardback. Condizione: New. Up-to-date discussions of the challenges and solutions in multi-agent vehicle-road interaction systems In State Estimation of Multi-Agent Vehicle-Road Interaction Systems, a team of distinguished researchers introduces a novel conceptual framework that defines a system comprising vehicles and local roa…d segments within a connected vehicle (V2X) environment-referred to as the vehicle neighborhood system. Creative estimation methods for both states and parameters within this system have been proposed and potential applications of these methods have been discussed. The book places particular emphasis on estimating and analyzing the motion states of the ego vehicle and the preceding vehicle, as well as the tire road friction coefficient. The book covers a wide range of topics in the area of vehicle neighborhood systems, including sensor technologies, data fusion, filtering algorithms, engineering applications, and practical implementations of autonomous driving systems. It also explores common challenges in state and parameter estimation for related nonlinear systems, such as sensor data loss, unknown measurement noise, and model parameter perturbations. Corresponding solutions to these issues are proposed and discussed in detail. The book also includes: A thorough introduction to ego-vehicle state estimation with sensor data lossComprehensive explorations of unknown noise and parameter perturbations in ego-vehicle state estimationPractical discussions of tire-road friction coefficient estimation with parameter mismatch and data lossComplete treatments of preceding vehicle state estimation Perfect for engineers and professionals with an interest in vehicle state estimation, State Estimation of Multi-Agent Vehicle-Road Interaction Systems will also benefit academics, scientists, and graduate students in areas like robotics, control systems, and autonomous systems.
Editore: Wiley-IEEE Press
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Hardcover. Condizione: new. Hardcover. Up-to-date discussions of the challenges and solutions in multi-agent vehicle-road interaction systems In State Estimation of Multi-Agent Vehicle-Road Interaction Systems, a team of distinguished researchers introduces a novel conceptual framework that defines a system comprising vehicles a…nd local road segments within a connected vehicle (V2X) environmentreferred to as the vehicle neighborhood system. Creative estimation methods for both states and parameters within this system have been proposed and potential applications of these methods have been discussed. The book places particular emphasis on estimating and analyzing the motion states of the ego vehicle and the preceding vehicle, as well as the tire road friction coefficient. The book covers a wide range of topics in the area of vehicle neighborhood systems, including sensor technologies, data fusion, filtering algorithms, engineering applications, and practical implementations of autonomous driving systems. It also explores common challenges in state and parameter estimation for related nonlinear systems, such as sensor data loss, unknown measurement noise, and model parameter perturbations. Corresponding solutions to these issues are proposed and discussed in detail. The book also includes: A thorough introduction to ego-vehicle state estimation with sensor data lossComprehensive explorations of unknown noise and parameter perturbations in ego-vehicle state estimationPractical discussions of tire-road friction coefficient estimation with parameter mismatch and data lossComplete treatments of preceding vehicle state estimation Perfect for engineers and professionals with an interest in vehicle state estimation, State Estimation of Multi-Agent Vehicle-Road Interaction Systems will also benefit academics, scientists, and graduate students in areas like robotics, control systems, and autonomous systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Hardcover. Condizione: new. Hardcover. Up-to-date discussions of the challenges and solutions in state estimation of vehicle neighborhood systems In State Estimation of Multi-Agent Vehicle-Road Interaction System, a team of distinguished researchers introduces a novel conceptual framework that defines a system comprising vehicle…s and local road segments within a connected vehicle (V2X) environmentreferred to as the vehicle neighborhood system. Creative estimation methods for both states and parameters within this system have been proposed and potential applications of these methods have been discussed. The book places particular emphasis on estimating and analyzing the motion states of the ego vehicle and the preceding vehicle, as well as the tire road friction coefficient. The book covers a wide range of topics in the area of vehicle neighborhood systems, including sensor technologies, data fusion, filtering algorithms, engineering applications, and practical implementations of autonomous driving systems. It also explores common challenges in state and parameter estimation for related nonlinear systems, such as sensor data loss, unknown measurement noise, and model parameter perturbations. Corresponding solutions to these issues are proposed and discussed in detail. The book also includes: A thorough introduction to ego-vehicle state estimation with sensor data lossComprehensive explorations of unknown noise and parameter perturbations in ego-vehicle state estimationPractical discussions of tire-road friction coefficient estimation with parameter mismatch and data lossComplete treatments of preceding vehicle state estimation Perfect for engineers and professionals with an interest in vehicle state estimation, State Estimation of Multi-Agent Vehicle-Road Interaction System will also benefit academics, scientists, and graduate students in areas like robotics, control systems, and autonomous systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Hardcover. Condizione: new. Hardcover. Up-to-date discussions of the challenges and solutions in multi-agent vehicle-road interaction systems In State Estimation of Multi-Agent Vehicle-Road Interaction Systems, a team of distinguished researchers introduces a novel conceptual framework that defines a system comprising vehicles a…nd local road segments within a connected vehicle (V2X) environmentreferred to as the vehicle neighborhood system. Creative estimation methods for both states and parameters within this system have been proposed and potential applications of these methods have been discussed. The book places particular emphasis on estimating and analyzing the motion states of the ego vehicle and the preceding vehicle, as well as the tire road friction coefficient. The book covers a wide range of topics in the area of vehicle neighborhood systems, including sensor technologies, data fusion, filtering algorithms, engineering applications, and practical implementations of autonomous driving systems. It also explores common challenges in state and parameter estimation for related nonlinear systems, such as sensor data loss, unknown measurement noise, and model parameter perturbations. Corresponding solutions to these issues are proposed and discussed in detail. The book also includes: A thorough introduction to ego-vehicle state estimation with sensor data lossComprehensive explorations of unknown noise and parameter perturbations in ego-vehicle state estimationPractical discussions of tire-road friction coefficient estimation with parameter mismatch and data lossComplete treatments of preceding vehicle state estimation Perfect for engineers and professionals with an interest in vehicle state estimation, State Estimation of Multi-Agent Vehicle-Road Interaction Systems will also benefit academics, scientists, and graduate students in areas like robotics, control systems, and autonomous systems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: WileyBlackwell, 2025
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Hardcover. Condizione: Brand New. 176 pages. 6.00x0.75x9.00 inches. In Stock. This item is printed on demand.
